Getting Started with Edge AI

Edge AI means running inference on a small device instead of in a data centre. The win is latency, privacy and offline use — perfect for classrooms.

The workflow is: collect data on-device, train a small model on a laptop, export a lightweight version, and run it back on the board. Tools like TensorFlow Lite make the export step a few clicks.

Start with image or audio classification — they give immediate, satisfying feedback. A model that lights an LED when it sees your hand is a far better motivator than a tutorial about loss functions.